Salary for Senior-level / Expert BI Analyst during 2024

Salary details

The average senior-level / expert BI Analyst salary lies between USD 80,000 and USD 130,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert BI Analyst roles

The three most common job tag items assiciated with senior-level / expert BI Analyst job listings are SQL, Power BI and Business Intelligence. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

SQL | 116 jobs Power BI | 97 jobs Business Intelligence | 77 jobs Tableau | 74 jobs Data analysis | 66 jobs Python | 61 jobs Excel | 55 jobs Statistics | 53 jobs Finance | 49 jobs Data visualization | 44 jobs Agile | 41 jobs Engineering | 40 jobs Data Analytics | 40 jobs R | 37 jobs ETL | 37 jobs Azure | 35 jobs Data quality | 35 jobs Security | 33 jobs Computer Science | 33 jobs KPIs | 30 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert BI Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert BI Analyst job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 71 jobs Flex hours | 36 jobs Health care | 33 jobs Startup environment | 28 jobs Competitive pay | 24 jobs Team events | 24 jobs Equity / stock options | 14 jobs Flex vacation | 14 jobs Insurance | 13 jobs Medical leave | 12 jobs Parental leave | 10 jobs 401(k) matching | 9 jobs Salary bonus | 7 jobs Relocation support | 5 jobs Wellness | 4 jobs Transparency | 4 jobs Home office stipend | 3 jobs Lunch / meals | 2 jobs Travel | 2 jobs Gear | 2 jobs

Salary Composition

The salary composition for a Senior-level or Expert BI Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits. In North America, particularly in tech hubs like Silicon Valley, the base salary might constitute around 70-80% of the total compensation, with bonuses and stock options making up the rest. In contrast, in regions with a lower cost of living, the base salary might be a larger percentage of the total compensation. Industries such as finance or tech tend to offer higher bonuses compared to sectors like healthcare or education. Larger companies often provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract talent.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as a Data Science Manager or a Director of Analytics. These positions typically require a combination of technical expertise and leadership skills. You can also specialize in high-demand areas like machine learning engineering or AI research, which often command higher salaries. Networking within industry-specific groups and attending conferences can open up opportunities for higher-paying roles. Additionally, gaining expertise in emerging technologies or methodologies can make you more valuable to employers, potentially leading to salary increases.

Educational Requirements

Most Senior-level BI Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master's degree or even a Ph.D. is often preferred, especially for roles that involve complex data modeling or machine learning. Advanced degrees provide a deeper understanding of algorithms, data structures, and statistical methods, which are crucial for high-level analysis and decision-making.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications validate your skills in data analysis, machine learning, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, a Senior-level BI Analyst in AI/ML/Data Science is expected to have at least 5-10 years of experience in data analysis or a related field. This experience should include a strong track record of working with large datasets, developing data models, and using data visualization tools. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively with others.

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